HR Analytics and Data-Driven Decision Making

🌟 Transform Your HR Strategies with HR Analytics and Data-Driven Decision Making!
Our in-depth course on HR Analytics and Data-Driven Decision Making is designed for HR professionals aiming to leverage data for better insights and smarter decisions. Learn advanced analytics techniques through expert-led modules, combining flexible learning with a recognized certification to elevate your HR expertise. Enroll today and make more informed, impactful HR decisions!

  • 6900 GBP$ 2 weeks
  • Instructor

City
Duration
Year
Venue Start Date End Date Net Fees Details & Registration
Geneva July 7, 2025 July 11, 2025 6900 GBP PDF Register
Geneva September 8, 2025 September 12, 2025 6900 GBP PDF Register
Geneva November 10, 2025 November 14, 2025 6900 GBP PDF Register

About corse

In today's rapidly evolving business landscape, the ability to harness data for strategic decision-making has become an indispensable skill for HR professionals. The course on HR Analytics and Data-Driven Decision Making is designed to equip participants with the knowledge and tools required to leverage data analytics in human resources. This training will cover the fundamental concepts of HR analytics, enabling professionals to transform raw data into actionable insights that drive organizational performance. By understanding various analytical frameworks and methodologies, attendees will learn how to identify trends, predict outcomes, and make informed decisions that align with their organization’s goals. The course emphasizes the importance of fostering a data-driven culture within HR departments. Participants will explore various data sources, analytical techniques, and visualization tools that facilitate effective communication of insights to stakeholders. By the end of the program, attendees will be proficient in utilizing HR analytics to enhance workforce planning, talent acquisition, employee engagement, and retention strategies.  

The Objectives

  • Understand the fundamentals of HR analytics and its significance.
  • Learn to identify and collect relevant HR data.
  • Develop skills in data analysis and interpretation.
  • Explore various tools and technologies used in HR analytics.
  • Gain insights into how data-driven decisions can improve HR functions.
  • Cultivate a data-driven mindset across the HR department.

Training Methodology

The training methodology will include a blend of lectures, interactive workshops, group discussions, and case studies. Participants will engage in practical exercises that allow them to apply analytical techniques to real HR scenarios. Additionally, the course will incorporate the use of analytical software and tools, enabling hands-on experience. The collaborative environment will encourage knowledge sharing and peer learning, ensuring that attendees leave with actionable insights and enhanced skills.

WHO SHOULD ATTEND

This course is ideal for HR professionals, managers, and executives who are looking to enhance their skills in analytics and data-driven decision-making. It is also suitable for business leaders interested in understanding the role of data in shaping HR strategies. Whether you are an experienced HR practitioner or new to the field, this training will provide valuable insights and tools to elevate your HR practices.

Course Outlines

Day 1: Introduction to HR Analytics
  • Overview of HR analytics and its importance.
  • Key terms and concepts in analytics.
  • The evolution of HR analytics in modern organizations.
  • Understanding the data lifecycle in HR.
  • Identifying types of HR data and their sources.
  • Case study discussion on successful HR analytics implementation.
Day 2: Data Collection and Management
  • Techniques for effective data collection.
  • Ensuring data quality and integrity.
  • Data privacy and ethical considerations in HR analytics.
  • Tools for data management and storage.
  • Creating a data-driven culture within HR.
  • Group activity: Developing a data collection plan.
Day 3: Data Analysis Techniques
  • Introduction to basic statistical concepts.
  • Descriptive vs. inferential statistics in HR.
  • Exploring data visualization techniques.
  • Overview of common analytical tools and software.
  • Interpreting data findings for HR decision-making.
  • Hands-on workshop: Analyzing sample HR data sets.
Day 4: Predictive Analytics in HR
  • Understanding predictive analytics and its relevance.
  • Key predictive models used in HR.
  • Identifying patterns and trends in HR data.
  • Case studies of predictive analytics in talent acquisition.
  • Workshop: Building a simple predictive model.
  • Discussion on the future of predictive analytics in HR.
Day 5: Workforce Planning and Talent Management
  • Utilizing analytics for workforce planning.
  • Assessing talent needs through data analysis.
  • Strategies for employee retention based on data insights.
  • Measuring employee performance and engagement through analytics.
  • Case study: Successful talent management using HR analytics.
  • Group discussion: Challenges in workforce analytics.

Training Method?

  • Pre-assessment
  • Live group instruction
  • Use of real-world examples, case studies and exercises
  • Interactive participation and discussion
  • Power point presentation, LCD and flip chart
  • Group activities and tests
  • Each participant receives a copy of the presentation

Training Method?

The course agenda will be as follows:
  • Technical Session 30-10.00 am
  • Coffee Break 00-10.15 am
  • Technical Session 15-12.15 noon
  • Coffee Break 15-12.45 pm
  • Technical Session 45-02.30 pm
  • Course Ends 30 pm
   
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